Assistance Navigation:

Ming Yuan -- Publications

Wu, S., Zou, H. and Yuan, M. (2008), Structured Variable Selection in Support Vector Machines, Electronic Journal of Statistics, 2, 103-117.
Zou, H. and Yuan, M. (2008), The Finf-norm Support Vector Machine, Statistica Sinica, 18(1), 379-398.

Wu, H., Yuan, M., Kaech, S. and Halloran, M. (2007), A Statistical Analysis of Memory CD8 T Cell Differentiation: An Application of a Hierarchical State Space Model to a Short Time Course Microarray Experiment, Annals of Applied Statistics, 1(2), 442-458.
Yuan, M., Joseph, R. and Lin, Y. (2007), An Efficient Variable Selection Approach for Analyzing Designed Experiments, Technometrics, 49(4), 430-439.
Li, J., Yuan, M. and Lee, C. (2007), Approximate Test Risk Bound Minimization through Soft Margin Estimation, IEEE Transaction on Acoustics, Speech, and Signal Processing, 15(8), 2393-2404.
Yuan, M., Ekici, A., Lu, Z. and Monteiro, R. (2007), Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression, Journal of the Royal Statistical Society, Series B, 69(3), 329-346.
Edwards, M., Anderson, R., Yuan, M., Kendziorski, C., Weindruch, R. and Prolla, T. (2007), Gene Expression Profiling of Aging Reveals Activation of a p53-Mediated Transcriptional Program, BMC Genomics, 8:80.[link]
Yuan, M. and Lin, Y. (2007), On the Nonnegative Garrote Estimator, Journal of the Royal Statistical Society, Series B, 69(2), 143-161. [link]
Yuan, M. and Lin, Y. (2007), Model Selection and Estimation in the Gaussian Graphical Model, Biometrika, 94(1), 19-35. [link]

Yuan, M. and Kendziorski, C. (2006), Hidden Markov Models for Microarray Time Course Data under Multiple Biological Conditions (with discussion), Journal of the American Statistical Association, 101(476), 1323-1340. [link|software|supplement]
Yuan, M. and Kendziorski, C. (2006), A Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification, Biometrics, 62(4), 1089-1098. [link|supplement|software]
Yuan, M. (2006), Flexible Temporal Expression Profile Modeling Using the Gaussian Process, Computational Statistics and Data Analysis, 51(3), 1754-1764. [link]
Lin, Y. and Yuan, M. (2006), Convergence Rates of Compactly Supported Radial Basis Function Regularization, Statistica Sinica, 16(2), 425-439. [link]
Kendziorski, C., Chen, M., Yuan, M., Lan, H. and Attie, A. (2006), Statistical Methods for Expression Trait Loci (eQTL) Mapping, Biometrics, 62(1), 19-27. [link]
Yuan, M. (2006), GACV for Quantile Smoothing Splines, Computational Statistics and Data Analysis, 50(3), 813-829. [link]
Yuan, M. and Lin, Y. (2006), Model Selection and Estimation in Regression with Grouped Variables, Journal of the Royal Statistical Society, Series B, 68(1), 49-67. [link]

Yuan, M. and Lin, Y. (2005), Efficient Empirical Bayes Variable Selection and Estimation in Linear Models, Journal of the American Statistical Association, 100(472), 1215-1225. [link|supplement]
Yuan, M. (2005), Automatic Smoothing for Poisson Regression, Communications in Statistics -- Theory and Methods, 34, 603-617.
Yuan, M. (2005), Semi-parametric Censorship Model with Covariates, Test, 14(2), 489-514. [link]

Yuan, M. and Wahba, G. (2004), Doubly Penalized Likelihood Estimator in Heteroscedastic Regression, Statistics and Probability Letters, 69(1), 11-20. [link]
Yuan, M. (2003), De-convolving Multivariate Density From Random Field, Statistical Inference for Stochastic Processes, 6(2), 135-153. [link]
Yuan, M., Su, C. and Hu, T. (2003), A Central Limit Theorem for the Negatively Associated Random Field, Journal of Theoretical Probability, 16(2), 309-323. [link]
Yuan, M. and Chen, J. (2002), De-convolving Multidimensional Density from Partially Contaminated Observations, Journal of Statistical Planning and Inference, 104(1), 147-160. [link]